全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于POI轨道交通站点生活服务业空间分布特征研究——以杭州市地铁1号线为例
Based on the Spatial Distribution of Living Service Industry in POI Rail Transit Station Characteristic Study—Taking Hangzhou Metro Line 1 as an Example

DOI: 10.12677/GSER.2023.124054, PP. 578-589

Keywords: POI,生活服务业,空间分布,杭州地铁1号线
POI
, Living Service Industry, Spatial Distribution, Line 1, Hangzhou Metro

Full-Text   Cite this paper   Add to My Lib

Abstract:

本文以六类重要生活服务设施的数据为基础,通过获取高德POI数据,在ARCGIS软件中运用核密度分析、标准差椭圆分析以及空间相关性分析,对杭州市地铁1号线站点周边一定范围内的生活服务业空间分布格局特征进行研究。研究表明:(1) 六类生活服务的布局有一定的差异性,呈现“中心混合集中,边缘分类扩散”的布局模式;(2) 六类服务设施在不同站点的分布存在一定的差异,餐饮、住宿设施与其他类型服务设施的相关性相对较高,而科教文化设施与其他类型服务设施的相关性相对较低;(3) 六类生活服务设施空间分布的核心位置非常接近,商业和餐饮业的分布密度最高、数量最多,而其他的数量较少;(4) 在杭州市主城区,人口密度与生活服务设施的分布存在不协调。总体上,经济活跃的区域也是其他生活服务设施密度较高的区域。
Based on the data of six kinds of important life service facilities, this paper studies the spatial distribution pattern of life service industry in a certain area around Hangzhou Metro Line 1 station by using ARCGIS software. Research shows: (1) There are some differences in the layout of the six types of life services, showing the layout mode of “central mixed concentration, edge classification diffusion”; (2) There are certain differences in the distribution of the six types of service facilities at different sites. The correlation between catering and accommodation facilities and other types of service facilities is relatively high, while the correlation between science, education and culture facilities and other types of service facilities is relatively low; (3) Six types of living service facilities are located very close to the core of the spatial distribution, commerce and catering industry distribution of the highest density, the largest number, while the other smaller number; (4) In the main urban area of Hangzhou, the distribution of population density and living service facilities is incongruous. In general, economically active areas are also areas with higher densities of other living services.

References

[1]  俞华, 路红艳, 武芳, 等. 扩大居民生活服务消费的对策建议[J]. 经济研究参考, 2016(6): 32-33.
[2]  张哲宁, 王书灵, 孙福亮, 等. 精细化数据背景下的城市轨道交通站点影响范围研究——以北京市为例[C]//2019年中国城市交通规划年会论文集: 2019年卷. 北京: 中国建筑工业出版社, 2019: 1-13.
[3]  冉钊, 周国华, 吴佳敏, 等. 基于POI数据的长沙市生活性服务业空间格局研究[J]. 世界地理研究, 2019, 28(3): 163-172.
[4]  杨文杰, 杜剑光, 陈利燕. 基于POI数据挖掘的科教文化空间特征分析研究——以广州市为例[J]. 测绘与空间地理信息, 2020, 43(4): 28-30.
[5]  李卫东, 张铭龙, 段金龙. 基于POI数据的南京市空间格局定量研究[J]. 世界地理研究, 2020, 29(2): 317-326.
[6]  崔艳, 戚鹏程. 基于GIS的郑州市公共文化设施空间布局研究[J]. 现代经济信息, 2012(7): 165-166.
[7]  Silverman, B.W. (1986) Density Estimation for Statistics and Data Analysis. Chapman and Hall, London.
[8]  汤国安, 杨昕. ArcGIS地理信息系统空间分析实验教程[M]. 第2版. 北京: 科学出版社, 2012.
[9]  王远飞, 何洪林. 空间数据分析方法[M]. 北京: 科学出版社, 2007.
[10]  Lefever, D.W. (1926) Measuring Geographic Concentration by Means of the Standard Deviational Ellipse. The American Journal of Sociology, 32, 88-94.
https://doi.org/10.1086/214027
[11]  Robert, S.Y. (1971) The Standard Deviational Ellipse: An Updated Tool for Spatial Description. Geografiska Annaler. Series B, Human Geography, 53, 28-39.
https://doi.org/10.1080/04353684.1971.11879353
[12]  张家旗, 刘晏男, 宋斌玢. 基于POI数据的郑州市主城区生活服务业空间分布特征研究[J]. 世界地理研究, 2022, 31(2): 399-409.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133